Human Aging Research Articles

Human Age Group Estimation Using Gait Features

In many practical applications, identifying the target age group is essential for marketing products and services. For instance, gaming and entertainment companies need to understand which age groups are most likely to purchase their services. This knowledge allows them to optimize their products and services to better cater to their target audience. This study proposes an age group prediction system using gait features. Gait, in this context, pertains to an individual's unique walking style. A diverse dataset containing subjects from 3 to 70 years old is collected. The age group is classified into three categories: child, adult, and senior. The critical aspect of this research lies in the preprocessing techniques applied to the gait patterns. The gait patterns are extracted from landmark human joint positions' key point values and preprocessed using smoothening techniques. Additionally, dimension reduction techniques enhance computational efficiency and accuracy before feeding the features into a deep learning-based classifier. These preprocessing steps play a pivotal role in the success of the deep learning-based classifier. A promising accuracy of up to 95% is reported for correctly recognizing the human age groups. The outcomes of this investigation underscore the tremendous potential of leveraging machine learning techniques to refine marketing strategies and boost customer satisfaction. The proposed approach can aid companies in aligning their products and services with the preferences and needs of distinct age groups, thereby enhancing their market presence and resonance with their target audience.

Mathematical Derivations of Actuarial Present Value for the Fully Continuous Whole Life Assurances from the Theoretical Market Price

Many current mortality tables are computationally Makehamised but technically devoid of continuous key life table functions such as and because of the underlying sophisticated mortality functions and the complex methods of computation which usually do not incorporate the market price. The computationally advanced Moore’s model, which does not endorse the market pricing mechanisms offers one of the most complex analytical results that seems not user friendly in actuarial literature. As a result of the Moore’s complexity, we offer the Gradshteyn and Ryzhik’s analytic integral as an alternative solution to examine the contingency issues involving the estimation of actuarial present values of the continuous whole life annuities. In this study, the objective are to (i) estimate the parameters of GM (1,2) through the method of equidistant points according to the natural order of human age (ii) Apply the mean value theorem to construct the survival probability function under the framework of policy modifications (iii) Develop a closed form pricing formula for the continuous whole life annuity and continuous whole life insurance. The Gradshteyn and Ryzhik’s analytic integral has eliminated the Moore’s complexities associated with symbolic computations such that the continuity assumption applied allows us to compute the continuous life annuity with expedience. Computational evidence further shows that the continuous life annuity reduces with age confirming that life annuities is a decreasing function.

Human Age Group Estimation Using Gait Features

In many practical applications, identifying the target age group is essential for marketing products and services. For instance, gaming and entertainment companies need to understand which age groups are most likely to purchase their services. This knowledge allows them to optimize their products and services to better cater to their target audience. This study proposes an age group prediction system using gait features. Gait, in this context, pertains to an individual's unique walking style. A diverse dataset containing subjects from 3 to 70 years old is collected. The age group is classified into three categories: child, adult, and senior. The critical aspect of this research lies in the preprocessing techniques applied to the gait patterns. The gait patterns are extracted from landmark human joint positions' key point values and preprocessed using smoothening techniques. Additionally, dimension reduction techniques enhance computational efficiency and accuracy before feeding the features into a deep learning-based classifier. These preprocessing steps play a pivotal role in the success of the deep learning-based classifier. A promising accuracy of up to 95% is reported for correctly recognizing the human age groups. The outcomes of this investigation underscore the tremendous potential of leveraging machine learning techniques to refine marketing strategies and boost customer satisfaction. The proposed approach can aid companies in aligning their products and services with the preferences and needs of distinct age groups, thereby enhancing their market presence and resonance with their target audience.

ECABLE (External Catheter Flexible) innovation of catheter external products for women

The increasing age of humans leads to reduced strength and muscle mass. Increasing age can also cause a decrease in the function of other organs, such as the urinary tract so that some elderly people have difficulty moving places to urinate and need to use diapers. The types of urinary catheters on the market are intermittent catheters, suprapubic catheters, and external catheters. The purpose of this study was to design a special external catheter for women with the name Ecable. Ecable is designed according to the needs of users both the elderly themselves and people who care for the elderly. The method used in this design is design thinking. ecable consists of five major components: a urine bag, an alarm, a hose, special underwear, and a urine funnel. The advantages offered by this product are easy to install and remove, comfortable to use, minimize unpleasant odors, there is a full urine bag detection alarm, minimize the cause of irritation, and are cost-effective because they can be used repeatedly. This catheter is expected to help the elderly and caregivers to overcome existing needs.

Particulate Matter in Human Elderly: Higher Susceptibility to Cognitive Decline and Age-Related Diseases.

This review highlights the significant impact of air quality, specifically particulate matter (PM), on cognitive decline and age-related diseases in the elderly. Despite established links to other pathologies, such as respiratory and cardiovascular illnesses, there is a pressing need for increased attention to the association between air pollution and cognitive aging, given the rising prevalence of neurocognitive disorders. PM sources are from diverse origins, including industrial activities and combustion engines, categorized into PM10, PM2.5, and ultrafine PM (UFPM), and emphasized health risks from both outdoor and indoor exposure. Long-term PM exposure, notably PM2.5, has correlated with declines in cognitive function, with a specific vulnerability observed in women. Recently, extracellular vesicles (EVs) have been explored due to the interplay between them, PM exposure, and human aging, highlighting the crucial role of EVs, especially exosomes, in mediating the complex relationship between PM exposure and chronic diseases, particularly neurological disorders. To sum up, we have compiled the pieces of evidence that show the potential contribution of PM exposure to cognitive aging and the role of EVs in mediating PM-induced cognitive impairment, which presents a promising avenue for future research and development of therapeutic strategies. Finally, this review emphasizes the need for policy changes and increased public awareness to mitigate air pollution, especially among vulnerable populations such as the elderly.

Uterine Aging and Reproduction: Dealing with a Puzzle Biologic Topic.

Uterine aging is the process of the senescence of uterine tissue, observed in all middle-aged mammals. Since the aging-related changes in the uterus are associated with infertility and poor pregnancy outcomes, with a lack of studies discussing uterine aging, authors reviewed uterine aging and its consequences on reproduction. MEDLINE, Scopus, and PubMed searches during the years 1990-2023 were performed using a combination of keywords and terms on such topics. According to the author's evaluation, articles were identified, selected, and included in this narrative review. The aging process has an unfavorable impact on the uterus of mammals. There are different and selected molecular pathways related to uterine aging in humans and animals. Uterine aging impairs the function of the uterine myometrium, neurofibers of the human uterus, and human endometrium. These biological pathways modulate oxidative stress, anti-inflammatory response, inflammation, mitochondrial function, DNA damage repair, etc. All these dysregulations have a role in poorer reproductive performance and pregnancy outcomes in older mammals. The most recent data suggest that uterine aging is accompanied by genetic, epigenetic, metabolic, and immunological changes. Uterine aging has a negative impact on the reproductive performance in mammalian species, but it could be potentially modulated by pharmacological agents, such as quercetin and dasatinib.

The CEPH aging cohort and biobank: a valuable collection of biological samples from exceptionally long-lived French individuals and their offspring for longevity studies

The increasing aging of the human population is currently and for the coming decades a major public health issue in many countries, requiring the implementation of global public health policies promoting healthy and successful aging. Individuals are not equal in the face of aging and some can present exceptional healthspan and/or lifespan, which are notably influenced by both genetic and environmental factors. Research and studies on human aging, healthy aging and longevity should rely in particular on cohorts of long-lived individuals, also including biological samples allowing studies on the biology of aging and longevity. In this manuscript, we provide for the first time a complete description of the CEPH (Centre d’Etude du Polymophisme Humain) Aging cohort, an exceptional cohort recruited during the 90s to 2000s, including more than 1700 French long-lived individuals (≥ 90 years old) born between 1875 and 1916 as well as for some of them their siblings and offspring. Among the participants, 1265 were centenarians, including 255 semi-supercentenarians ([105–110] years old) and 25 supercentenarians (≥ 110 years old). The available anthropometric, epidemiologic and clinical data for the cohort participants are described and especially the collection of blood-derived biological samples associated with the cohort which includes DNA, cryopreserved cells and cell lines, plasma, and serum. This biological collection from the first cohort of centenarians in the world is an inestimable resource for ongoing and future molecular, cellular, and functional studies aimed at deciphering the mechanisms of human (successful) aging and longevity.

PENINGKATAN KESEJAHTERAAN LANSIA MELALUI PEMERIKSAAN KESEHATAN

The elderly is a human age group entering the final stages of life. From the health aspect, the elderly group experiences a decline in health status, both naturally and as a result of disease, and a special approach and efforts are needed for the elderly to improve the quality of health on an ongoing basis. The elderly should receive attention to their health, so that they are healthy and live long, are not dependent on the family, and can live independently, it is necessary to carry out regular health checks for the elderly. The aim of this community service activity was to improve the health welfare of the elderly and provide basic health information to the public, especially the elderly regarding blood pressure, blood sugar levels and uric acid, as well as providing education on the results of health examinations carried out so as to realize improvements in the health of the elderly. The method used in carrying out this activity was accidental, namely carrying out health checks on elderly people who come during the activity, then the elderly took turns having their health checked, starting with blood pressure, blood sugar and uric acid. The results of this community service activity showed that of the 24 elderly people, 14 people had hypertension, 12 people had hyperglycemia, and 11 people had hyperuremia. For this reason, it was concluded that the elderly in Aboek Jaloh Village experienced more hypertension (58%), so appropriate follow-up programs were needed to deal with elderly problems, especially degenerative diseases, so that the health of the elderly continued to improve.

Cell Level- Modeling of Aging and Rejuvenation

Understanding processes related to human aging and rejuvenation relies on experimental data and advanced models operating at different levels. There are several existing conceptual and specific modeling approaches. However, one of the existing tasks is compiling generic models linking properties at cell and cell-element levels to properties at systemic levels - tissue, organ, and whole body. One of the critical issues in the relevant models is the enormity of interacting components at the cell and sub-cell levels needed to represent the properties of high-level systems properly. This paper describes a promising approach to modeling and simulation at the cell population level for studying aging and rejuvenation. It also presents initial conclusions formulated based on the results of modeling and experiments coupled to it. The model is based on the concepts of the proliferation niche and homeostatic cell number stabilization in the cell population through the associated action of proliferation and apoptosis. Importantly, we address the issue of defining “aging” and “rejuvenation” for cell populations containing large numbers of cells of different ages. It is possible to demonstrate that homeostatic regulation can be performed by maintaining the concentration of a single regulatory substance. Predictions and simulations of the proposed model are compared to data from existing publications and experiments specifically conducted to validate the model. Currently, none of the available data contradicts the modeling results at the proposed level of detail. However, an inadequate number of elements and the employed statistical approach further limit progress in such modeling. Expanding the proposed method to include a realistic number of features representing human tissues, organs, and body and to allow for proper modeling of aging and rejuvenation processes requires more advanced modeling techniques.

HYPOTHALAMIC MICROSTRUCTURE IN OLDER ADULTS IS ASSOCIATED WITH CORTICAL ATROPHY AND NEUROCOGNITION

Abstract The hypothalamus is emerging as an important regulator of aging. Hypothalamic inflammation in mice shortens lifespan and accelerates neurocognitive decline. However, the role of the hypothalamus in systemic and neurocognitive aging in humans is unresolved. We studied the cross-sectional relationships between hypothalamic microstructure, cortical atrophy and neurocognition in community dwelling older adults (n=124, median age 78.7 (IQR 74.3-83.4) years, 58% women). Hypothalamic microstructure was assessed using magnetic resonance imaging (MRI)-diffusion tensor imaging (DTI) parameters that included mean diffusivity (MD) and fractional anisotropy (FA), obtained using a novel automated image processing pipeline. Greater MD and lower FA were indicative of compromised microstructural integrity. Neurocognitive assessments included a battery of 11 tests that were used to quantify standardized domain-specific (executive, memory, language, attention and visuomotor) and overall neurocognitive scores. Age was positively associated with hypothalamic MD (beta=0.037 SD per year of age, p=0.005). In linear models adjusted for age, sex, education, white matter hypointensities, and total intracranial volume, hypothalamic MD was negatively associated with cortical thickness in the cingulate, frontal, and parietal lobes (betas -0.07, -0.06, -0.07 respectively, all FDR-adjusted p≤0.01). On the other hand, in a multivariable adjusted model that included cortical thickness, hypothalamic FA was positively associated with the overall and all domain-specific neurocognitive scores (betas ranged 0.14 - 0.18, FDR- adjusted p values< 0.05). Hypothalamic microstructure is independently associated with cortical atrophy and neurocognition in the aging brain. Longitudinal studies can establish temporality and potential mechanisms by which hypothalamic dysfunction may accelerate systemic and neurocognitive aging in humans.

Human aging, cardiology and mental health: scoping review

Human aging is a multifactorial process that can be influenced by several factors, including the cardiovascular system and mental health. This study aimed to examine the extent and gaps in Brazilian scientific knowledge related to the elderly population, covering aspects of mental health and cardiology. A scoping review was carried out following the guidelines of the Joanna Briggs Institute and the PRISMA extension for Scoping Reviews guide. 19 studies were included in the review. The results were summarized by creating a table with the extracted data. the relationship between cardiovascular conditions and mental health in the elderly, especially vascular-metabolic diseases, addressing aspects such as depression, stress and neurocognitive and functional changes. It is concluded that research into the mental health of elderly people in cardiology prioritizes topics such as systemic arterial hypertension and cardiovascular prevention, considering risk factors. However, there is a gap in knowledge about the mental health of elderly people at cardiovascular risk in rural areas, and the absence of studies on elderly care and the influence of male subjectivities on cardiac health.

TRACING THE COORDINATED CONTROL OF NAD+ HOMEOSTASIS USING C. ELEGANS

Abstract Nicotinamide adenine dinucleotide (NAD+) is a vital coenzyme involved in redox reactions and cellular signaling. Its levels decline with age in humans, mice, and worms, leading to metabolic disturbances associated with age-related diseases. Interestingly, our studies in aged mice indicate that the rate of NAD+ synthesis remains unchanged, ruling out a lack of precursors as the cause of NAD+ decline. Instead, we found that tissues with lower NAD+ concentrations in aged mice exhibit higher fractional turnover, suggesting increased consumption as the primary driver of NAD+ decline during aging. This led us to hypothesize that the loss of NAD+ metabolic robustness and resiliency with age is linked to the hyper-activation and competition of NAD+-consuming enzymes. To investigate the physiological impact of NAD+ consuming enzymes on metabolic robustness, we used genetic tools and mass spectrometry in C. elegans. Surprisingly, we identified novel reproductive and aging phenotypes in mutant animals lacking specific NAD+ consuming enzymes, including Poly ADP-Ribose Polymerase (parp-1 and parp-2), TANKyrase (tank-1), and Toll and Interleukin 1 Receptor (tir-1). These mutants displayed significant reductions in fecundity and extensions in longevity. Additionally, employing High-Performance Liquid Chromatography coupled with Mass Spectrometry (HP-LC-MS), we examined the NAD+ metabolome across different developmental stages in our mutant strains, revealing notable metabolic disruptions associated with the loss of NAD+ consumers. In summary, our findings establish a novel connection between the hyper-activation of NAD+ degradation and the onset of reproductive aging. This research provides valuable insights into the role of NAD+ metabolism and its impact on aging-related processes.

THE CELL “SURFACEOME”: A STRATEGY TO TARGET SENESCENT CELLS IN VIVO

Abstract Senescent cell accumulation drives aging and related pathologies including metabolic disorders and neurodegeneration, and their selective elimination is a promising therapeutic approach to treat multiple diseases of aging in humans. However, developing drugs to eliminate senescent cells requires specific biomarkers to selectively identify and target these cells in vivo. In this study, we have performed a comprehensive and quantitative proteomic profiling of surface proteomes (surfaceomes) of senescent cells to identify potential senescence biomarker candidates in human tissues. We induced senescence using ionizing radiation in a variety of cell types including lung fibroblasts, monocytes, vascular smooth muscle cells, aortic endothelial cells and preadipocytes. Senescence was validated using a panel of canonical markers including reduced proliferation, increased senescence-associated β-galactosidase activity, and increased expression of p21, p16, IL6, and others. The cell surface proteome was enriched using an optimized surface biotinylation approach (Glyco-cell surface capture) followed by data-independent acquisition (DIA) LC-MS/MS analysis on a Q-Exactive HF Orbitrap mass spectrometer. Our analysis revealed novel cell surface targets that were further validated by flow cytometry and immunohistochemistry. These results provide clinically useful information for establishing biomarkers and therapeutic targets to aid in the translation of senescence-targeted therapies to treat age-associated diseases.

COMPARATIVE TRANSCRIPTOMIC OF LONGEVITY

Abstract Transcriptome analysis provides a nuanced view into the changes that occur in cells and tissues. Transcriptome changes rapidly and reproducibly in response to physiological influences and environmental insults. Recent years have seen an exponential increase in transcriptome data at bulk, single cell and spatial resolution that allows insights into the mechanisms and regulatory pathways of aging and longevity. In this session Drs. Gorbunova (University of Rochester) and Gladyshev (Harvard Medical School) will discuss comparative transcriptomics of longevity across species with diverse lifespans that revealed unique signatures of longevity and the integration of transcriptome and proteome data. Dr. Gladyshev will discuss development of transcriptomic clocks of measuring biological aging. Dr. Artyomov will discuss single-cell resolution approaches to reveal aspects of immune aging in humans, and Dr. Palovics will present the use of transcriptomics to understand rejuvenating effects of heterochronic parabiosis.

THE ROLE OF CASTRATION BEFORE OR AFTER PUBERTY ON SEX DIFFERENCES IN GROWTH AND LONGEVITY IN UM-HET3 MICE

Abstract Sex differences in human aging and longevity are well known. Mortality rates of males are higher throughout life with no definitive mechanisms identified. Previously, we reported that genetically heterogeneous mice have sex differences in longevity like those of humans. Here, we report that prepubertal castration significantly reduced early adulthood mortality and increased median lifespan by 12.6% (n=236/group) to match female levels. It also shifted growth trajectories toward the female pattern, including a reduced rate of body weight gain and a prolonged growth period. Our findings suggest that testicular hormones are critical for these sex differences. We next tested whether a) exposure to gonadal hormones from puberty throughout life is required or b) only hormone exposure during the short period of pubertal development is sufficient to cause these sex differences. We castrated or sham-operated mice (n = 60/group) prepubertally at 20 days, or after puberty at 60 or 240 days. Prepubertal castration prolonged the period of growth as before, with dramatically increased fat mass and reduced lean mass, which reduced the lean/body mass ratio to a level indistinguishable from that of females. Although post-pubertal castrated groups also had reduced lean/body mass ratios, they were significantly higher than prepubertally castrated mice, but were unchanged between 60d and 240d groups. These results suggest that the narrow window of testicular hormone exposure during puberty is necessary for the full expression of sex differences in body composition trajectories. Its effect on lifespan will be presented at the meeting when mice are old enough for assessment.

CIRCULATING MICRORNA PROFILE IN OKINAWAN CENTENARIANS

Abstract Centenarians are a successful example of aging and extended longevity, exhibiting advanced regulation of biological mechanisms and homeostasis. Since human longevity is a complex field of study that navigates molecular and biological mechanisms that influence aging, we hypothesized that microRNAs, a class of small non-coding RNAs implicated in regulating gene expression at the post-transcriptional level, demonstrate altered expression profiles in circulation across young, middle-aged, and centenarian cohorts. We sequenced circulating microRNAs in Okinawan males and females < 40, 40-80, and >90 years of age accounting for FOXO3A genetic variations (TT and TG alleles) and validated the findings through RT-qPCR. We report 5 microRNAs exclusively upregulated in both male and female centenarians demonstrating predictive functional roles in TGF-β, FoxO, AMPK, Pi3K-Akt, and MAPK signaling pathways. Our findings suggest that these microRNAs upregulated in centenarians may provide novel insight into their enhanced longevity and warrant further exploration into their roles in human aging and longevity.

SENNET CONSORTIUM: OPPORTUNITIES AND CHALLENGES

Abstract The Cellular Senescence Network (SenNet) Program was established in 2021 by the NIH Director’s Office Common Fund with the goal of comprehensively identifying and characterizing senescent cells across human lifespan in numerous organs. Mapping senescent cells in mice was added in 2022 to leverage genetic and pharmacologic approaches to drive, report, and ablate senescence in vivo. Senescent cells are implicated in driving most if not all age-related chronic diseases as well as accelerated aging caused by chronic diseases and their treatments (e.g., cancer chemotherapy). Furthermore, therapeutics specifically targeting senescent cells (senotherapeutics) have been developed and are currently being tested in clinical trials for multiple disease and geriatric endpoints. Thus, identifying and characterizing senescent cells throughout human aging and disease states has the potential to significantly impact human health. The SenNet Consortium is a highly collaborative network of scientists across the globe jointly benchmarking tools, technologies, and data analytic approaches, and aligning their activities with other NIH Common Fund initiatives, such as HuBMAP. While mapping senescent cells holds great biomedical promise, there are challenges such as the absence of specific biomarker to identify senescent cells, the appearance of senescence under physiological and pathological conditions, and little knowledge of what drives senescence in vivo. Analogous to the Human Genome Project, to achieve SenNet goals, innovative tools and technologies for single cell and spatial tissue analysis must be developed. Products of SenNet, in addition these new approaches, will include common nomenclature to define senescent cells, novel biomarkers of senescent cells, and publicly accessible databases and 4D atlases of senescent cells in 18 human and murine organs that enables 4D visualization.

LARGE-SCALE ANALYSIS OF HUMAN GUT MICROBIOTA PATTERNS ACROSS GEOGRAPHY AND PEDIATRIC TO GERIATRIC AGES

Abstract Limited studies to-date have evaluated differences in gut microbiota across a global and temporal scale. Herein, we aim to examine the gut microbiota patterns across geography as defined by continent and countries and how gut microbiota vary across age groups within each geographic region. To approach these questions, we designed a large-scale analysis of gut microbiota across North America, Europe, Africa, Asia and Oceania. Literature across countries within each region was screened to include publications employing human stool samples and 16s rRNA sequencing of gut microbiota;116 publications resulted from this first screen. In the second screen, publications without metadata files or whose metadata files did not clarify sample type, collection timepoint or location were excluded. Raw 16s rRNA sequencing data for included publications were collected, and metadata for corresponding fastq files were screened to include only those of healthy, non-intervention groups. This final screen resulted a total of 25,665 metadata. Corresponding 16s rRNA gut microbiota sequences will be analyzed via the QIIME2 workflow in which we aim to compare and contrast gut microbiota and diversity across continents and countries and evaluate changes in gut microbiota from pediatric to geriatric age. This study will provide insight on biodiversity on a worldwide scale and inform on the changes in gut microbiota across time, allowing further examination of the role of the gut microbiome in the development of chronic disease in human aging. Altogether, our study represents one of the largest scale evaluation of gut microbiota patterns across geography and time.

REPRODUCIBILITY OF BRAIN AGE SALIENCIES ACROSS DEEP NEURAL NETWORK ARCHITECTURES

Abstract The brain’s biological age (BA) reflects structural changes related to neuroanatomic senescence. BA is estimated from magnetic resonance images (MRIs) using convolutional neural networks (CNNs), which provide interpretability through saliency maps. By conveying the importance of brain regions to BA estimation, these maps reveal sex differences in brain-aging. We compared two CNN architectures to assess the reproducibility of such differences. Both regression CNNs had T1-weighted MRIs as inputs; outputs were estimated BAs. One CNN was trained on males and females separately, whereas the other was trained on both sexes. The dataset used consisted of T1-weighted MRIs from 5,851 cognitively normal individuals (3,142 females) aged 22 to 95 years, sampled from the Alzheimer’s Disease Neuroimaging Initiative (N = 510), Human Connectome Project Aging (N = 508) and Young Adult (N = 1,112), and UK Biobank (N = 3,721). For both models, compared to the average saliency for a null distribution, males’ BA estimation relied significantly (p < 0.05) more on the right lateral temporal lobe and superior frontal gyrus. Females’ BA estimation depended significantly (p <; 0.05) more on the right posterior and bilateral occipital regions, and medial parietal lobe. Simulated alterations in brain morphometry indicated saliencies correctly revealed regions with aging-related dynamics, which confirm prior findings on sex differences in brain-aging. Variations in CNN models’ saliencies did not affect overall anatomic patterns, suggesting that CNNs can capture brain-aging patterns robustly despite architecture differences. Novel statistical models for formal comparison of CNN saliencies should be developed to accommodate their nonlinear nature.

RETINAL AGING IN COMPANION DOGS

Abstract Companion dogs cohabit with humans in approximately 45% of US households. They experience similar environmental exposures and lifestyles to their human companions, and have shown sensory, cognitive, and neurological decline with aging. The relationship between age and retinal neurologic function in dogs has not been described. The aim of this study was to determine associations between age and retinal full-field electroretinographic measures in companion dogs, an important translational model species for human neurologic aging. Healthy adult companion dogs with no ophthalmic abnormalities were included (n=54, 18 male, 36 female, median weight 25.7kg, median age 89 months). Unilateral full-field light-adapted and dark-adapted electroretinography (ERG) was performed using a handheld device, with mydriasis and topical anesthesia. Standard least squares effect leverage models were used with log transformed data to determine the cross-sectional effect of age, sex, and bodyweight on ERG amplitudes and peak times. Age and sex were significantly associated with ERG outcome variables, more consistently with ERG amplitude than peak time; age had the largest and most significant effect leverage on outcomes (significantly affecting 3/9 peak time and 8/10 amplitude outcome variables). Younger and female dogs had higher ERG amplitudes. Body weight had no significant effect on any outcome. Our finding that aged companion dogs have reduced ERG amplitudes and prolonged peak times mirror ERG findings in aging humans. Because dogs have a shorter lifespan compared with humans, they may act as a sentinel species to monitor for emerging risk factors for age-related neurologic decline.